生物银行的世界是如何随着人工智能而改变的
1Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria.
Frontiers in digital health
|September 19, 2025
概括
人工智能 (AI) 通过影响大小,地点,速度和访问来改变生物银行. 人工智能使生物银行能够创造生物价值,将样本和数据转化为数据驱动的生物经济的资产.
科学领域:
- 这是生物银行.
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 生物银行已经从样本收集演变为复杂的数据和样本基础设施.
- 新兴技术,政策和社会期望不断重塑生物银行实践.
- 卫生研究和医疗保健的交集是生物银行的历史根源.
研究的目的:
- 分析人工智能 (AI) 技术对生物银行业务的影响.
- 在AI的背景下,将生物库呈现为动态边界对象.
- 探索AI如何影响生物材料和数据在生物经济中的转化为生物价值.
主要方法:
- 评估四个关键参数:大小,地点,速度和访问.
- 分析人工智能技术对生物银行发展和运营的影响.
- 生物银行作为生产生物价值的边界对象的概念框架.
主要成果:
- 人工智能对生物银行业务产生重大影响,特别是在数据管理和可访问性方面.
- 由于人工智能集成,生物库越来越多地作为动态边界对象运作.
- 人工智能有助于将生物样本和相关数据转化为数据驱动生物经济的有价值资产.
结论:
- 人工智能是生物库向数据中心基础设施发展的关键驱动力.
- 由人工智能增强的生物银行在产生生物价值和为生物经济做出贡献方面发挥着至关重要的作用.
- 了解人工智能对尺寸,地点,速度和访问等参数的影响对于未来生物银行发展至关重要.
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